Cloudera

MARCH 5, 2024

Apache Iceberg The addition of Apache Iceberg support for the Cloudera platform unlocks opportunities for enterprises to apply mission-critical data to AI and address some of the most error-prone processes, enabling them to generate new use cases, improve overall performance, and reduce costs.

Data Lake 92

Data Lake Data Storage Government Kafka 92

Knowledge Hut

DECEMBER 22, 2023

By enabling users to identify and construct ranges as well as filter, sort, merge, clean, and trim data, MS Excel helps data science. It is possible to generate pivot tables and charts and utilize Visual Basic for Applications (VBA). Cloud Computing Every day, data scientists examine and evaluate vast amounts of data.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. How is SQL Being Utilized? billion in 2022 to $154.6

Database 52

Database SQL Process NoSQL 52

Pinterest Engineering

SEPTEMBER 26, 2023

While it is blessed with an abundance of data for training, it is also crucial to maintain a high data storage efficiency. Therefore, we adopted a hybrid data logging approach, with which the data is logged through both the backend service and the frontend clients. The process is captured in Figure 1.

Software Engineer 104

Software Engineer Software Engineering Machine Learning Datasets 104

Data Engineering Podcast

AUGUST 17, 2020

What are the benefits of using matrices for data processing and domain modeling? What are the challenges that you have faced in storing and processing sparse matrices efficiently? How does the usage of matrices as the foundational primitive affect the way that users should think about data modeling?

Data Engineering 100

Data Engineering Data Engineer Engineering Database Design 100

Cloudera

MARCH 22, 2023

While a business analyst may wonder why the values in their customer satisfaction dashboard have not changed since yesterday, a DBA may want to know why one of today’s queries took so long, and a system administrator needs to find out why data storage is skewed to a few nodes in the cluster. As observability evolves, so will CDP.

Data Governance 94

Data Governance Government Business Analyst Metadata 94

Data Engineering Podcast

SEPTEMBER 12, 2021

2015 – 2021) What are your thoughts on the ongoing utility/benefits of projects such as ScyllaDB, particularly in light of the most recent release? What are some of the tools and system architectures that users turn to when building analytical workloads for data stored in Cassandra? What is notable about the version 4 release?

Database 100

Database Metadata Kafka Data Storage 100

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 52

Cloudera

NOVEMBER 18, 2020

Given the increase of financial fraud this year and the upcoming holiday shopping season, which historically also leads to an increase, I am taking this opportunity to highlight 3 specific data and analytics strategies that can help in the fight against fraud across the Financial Services industry. . synthetic transaction data.

Banking 106

Banking Machine Learning Electronics Data 106

ProjectPro

JANUARY 25, 2022

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. Yahoo utilizes Apache Spark's Machine Learning capabilities to customize its news, web pages, and advertising. Why use PySpark?

Big Data 52

Big Data Data Process Process Kafka 52

Snowflake

JUNE 5, 2024

Enterprises can utilize gen AI to extract more value from their data and build conversational interfaces for customer and employee applications. Additionally, upon implementing robust data security controls and meeting regulatory requirements, businesses can confidently integrate AI while meeting compliance standards.

Coding 93

Coding Building Management Government 93

Cloudera

AUGUST 27, 2021

The company stood out to the judges for taking its business to the next level by disrupting the telecommunication’s industry through the application of new technologies, skills, and operational processes. It’s end goal, to build a single digital platform to power data-driven decision-making. . Let’s explore….

Telecommunication 90

Telecommunication Transportation Big Data Data Ingestion 90

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Diversity of workloads.

Systems 92

Systems Hadoop Metadata Telecommunication 92

Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Big Data Analysis Companies can acquire new insights and optimize business processes by harnessing the computing power of cloud computing. Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Edureka

JULY 5, 2024

Proper data pre-processing and data cleaning in data analysis constitute the starting point and foundation for effective decision-making, though it can be the most tiresome phase. simultaneously making raw data efficient to form insights. What is Tableau Prep ?

Data Preparation 40

Data Preparation Process BI ETL Tools 40

Cloudera

FEBRUARY 1, 2024

Security considerations: define security policies and implement necessary measures to protect data and resources. Documentation: create documentation detailing the installation process and system configurations. Configuration: set up initial configurations, including cluster settings, user access, and data storage configurations.

Cloud 87

Cloud Architecture Utilities Designing 87

Lyft Engineering

NOVEMBER 29, 2023

Druid Architecture at Lyft Druid Architecture at Lyft With Lyft as a Kubernetes shop, we ran all of the above processes into our stateful and stateless Kubernetes pods within the service namespaces. External dependencies for Druid were managed by our persistence teams and Amazon S3 was utilized for deep storage of our segments.

Kafka 105

Kafka Data Ingestion Datasets Architecture 105

Knowledge Hut

MARCH 27, 2024

An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database. Table modeling of the data in standard databases facilitates efficient searching and processing. SQL, or structured query language, is widely used for writing and querying data.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Snowflake

APRIL 18, 2024

Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Snowflake allows security teams to store all their data in a single platform and maintain it all in a readily accessible state, with virtually unlimited cloud data storage capacity.

Data Lake 85

Data Lake Data Ingestion Bytes Cloud Computing 85

Knowledge Hut

MAY 30, 2024

Natural Language Processing Techniques 2. Big Data Analytics in the Industrial Internet of Things 4. Big Data Analytics in the Industrial Internet of Things 4. Digital Image Processing: 6. Data Mining 12. The edge computing system can store vast amounts of data to retrieve in the future. Robotics 1.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Cloudyard

MAY 7, 2024

Read Time: 1 Minute, 39 Second Many organizations leverage Snowflake stages for temporary data storage. However, with ongoing data ingestion and processing, it’s easy to lose track of stages containing old, potentially unnecessary data. This can lead to wasted storage costs.

Data Ingestion 52

Data Ingestion Data Storage Utilities Coding 52

Monte Carlo

MAY 28, 2024

This involves connecting to multiple data sources, using extract, transform, load ( ETL ) processes to standardize the data, and using orchestration tools to manage the flow of data so that it’s continuously and reliably imported – and readily available for analysis and decision-making.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Cloudera

JUNE 26, 2023

That depends on the business use case, use case complexity, workflow complexity, and whether batch or streaming data is required. Use Nifi for ETL of streaming data, when real-time data processing is needed, or when data must flow from various sources rapidly and reliably.

ETL Tools 81

ETL Tools Programming Language Datasets Data Pipeline 81

Databand.ai

MAY 30, 2023

High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies. Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance. One IT-step away from a life outside the shadows.

IT 96

IT Data Lake Data Warehouse Cloud Storage 96

Knowledge Hut

MARCH 14, 2024

Storage Services: Azure offers a variety of storage solutions such as Blob Storage, Azure Files, and Azure Disk Storage, accommodating different data storage needs with scalability and reliability. Microsoft Azure Architecture Best Practices I have made a list of Microsoft Azure Architecture Best Practices.

Architecture 52

Architecture Cloud Computing Utilities Machine Learning 52

Data Engineering Weekly

MARCH 24, 2024

As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service. The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems.

Data Engineering 64

Data Engineering Data Engineer Engineering Metadata 64

Ascend.io

NOVEMBER 14, 2024

Why Future-Proofing Your Data Pipelines Matters Data has become the backbone of decision-making in businesses across the globe. The ability to harness and analyze data effectively can make or break a company’s competitive edge. Set Up Auto-Scaling: Configure auto-scaling for your data processing and storage resources.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

LinkedIn Engineering

JULY 27, 2023

However, the ease of these processes can lead to over-provisioning and under-utilization of cloud resources, resulting in increased operating expenses. That’s why we built Costwiz, a tool that allows us to reduce costs by helping teams keep an eye on budgets and over-provisioned or under-utilized resources.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Rockset

APRIL 18, 2023

Vector search operates across these vectors to identify patterns and quantify similarities between components of the underlying unstructured data. Before vector search, search experiences primarily relied on keyword search, which frequently involved manually tagging data to identify and deliver relevant results.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Cloudera

APRIL 26, 2023

According to Cloud Native Computing Foundation ( CNCF ), cloud native applications use an open source software stack to deploy applications as microservices, packaging each part into its own containers, and dynamically orchestrating those containers to optimize resource utilization.

Cloud 67

Cloud Building Utilities Architecture 67

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Knowledge Hut

OCTOBER 27, 2023

Fingerprint Technology-Based ATM This project aims to enhance the security of ATM transactions by utilizing fingerprint recognition for user authentication. The Android Local Train Ticketing System includes user registration, payment processing, ticket confirmation, and ticket cancellation features. cvtColor(image, cv2.COLOR_BGR2GRAY)

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

JANUARY 18, 2024

and In my view, Data Science primarily focuses on engineering, processing, interpreting, and analyzing data to facilitate effective and informed decision-making. A data analyst would be a professional who will be able to accomplish all the tasks mentioned in the process of data analysis.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

APRIL 25, 2024

Frameworks make the process easy. Create data storage and acceptance solutions for websites, especially those that take payments. Utilizing appropriate product lifecycle techniques, such as Agile Scrum and frameworks, create a website architecture. It also helps with security and scalability. You may ask.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Netflix Tech

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. The process started with manual pull of member account information that was part of the session.

Building 95

Building Transportation Java Metadata 95